کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4496282 | 1623867 | 2014 | 12 صفحه PDF | دانلود رایگان |
• Ecologists must often predict population sizes of interacting species, but the models they use to do so often neglect adaptive processes.
• Theory predicting the impacts of adaptive processes can be important in understanding species responses to environmental change.
• Models of consumer–resource systems show that evolution can to reverse, enhance, or offset environmentally-driven change in population sizes.
• This theory should help lay the foundations for a more predictive community ecology.
How will evolution or other forms of adaptive change alter the response of a consumer species' population density to environmentally driven changes in population growth parameters? This question is addressed by analyzing some simple consumer–resource models to separate the ecological and evolutionary components of the population's response. Ecological responses are always decreased population size, but evolution of traits that have effects on both resource uptake rate and another fitness-related parameter may magnify, offset, or reverse this population decrease. Evolution can change ecologically driven decreases in population size to increases; this is likely when: (1) resources are initially below the density that maximizes resource growth, and (2) the evolutionary response decreases the consumer's resource uptake rate. Evolutionary magnification of the ecological decreases in population size can occur when the environmental change is higher trait-independent mortality. Such evolution-driven decreases are most likely when uptake-rate traits increase and the resource is initially below its maximum growth density. It is common for the difference between the new eco–evolutionary equilibrium and the new ecological equilibrium to be larger than that between the original and new ecological equilibrium densities. The relative magnitudes of ecological and evolutionary effects often depend sensitively on the magnitude of the environmental change and the nature of resource growth.
Journal: Journal of Theoretical Biology - Volume 343, 21 February 2014, Pages 162–173